In Example 3, we illustrate that the sampling technique used to generate our training set could affect our framework's accuracy. Especially, the performance of the nonlinear approach is substantially influenced by regions of sparse training data (i.e., test cases that lie within the sparse training data zone have MSE values about two orders of magnitude higher than the rest of the testing cases). Hence, we recommend a future study of the application of adaptive sampling approaches [1]}, [2]} applied to the nonlinear compression model.
